Closing The Train Inference Divide For Asynchronous Rl At Scale Lila Sciences Ray Summit 2026

Summary

"Github repository: github.com/anyscale/ Autonomous trucking is hard. Torc generalizes the task planning stack with reinforcement learning, running two very different Watch Yi Sheng Ong and Eric Higgins, Software Engineers at Applied talk at Training trillion-parameter MoE models on long-horizon agentic tasks demands that Nemotron is one of the leading open model families pushing the frontier of large- Mercury 2 is the first reasoning model built on a diffusion architecture and the fastest model on the Artificial Analysis index. Only about 5% of scientific hypotheses can be verified cheaply. The rest require real experiments, which makes most of Every use case needs different latency, cost, and compliance tradeoffs, but most teams either over-engineer one-off stacks or ... Agents have taken center stage in Modern models can span thousands of GPUs and months of training. At this